Modern wearables from Xiaomi and Redmi are no longer just pedometers, becoming full-fledged laboratories of health analysis. Owners of fitness bracelets and smart watches often notice the function of tracking night rest, but few understand the complex mechanics behind the numbers on the screen. The principle of operation of these gadgets is based on the continuous collection of biometric data and their subsequent software processing by artificial intelligence algorithms.
When you put a smart wristband on your wrist, it starts scanning your body every second, even when you're asleep. The main purpose of the system is to determine when you're falling asleep, record your sleep phases, and wake you up at the right time. It's not magic, it's accurate math, based on the readings of the accelerometer and the optical pulse sensor, and understanding these processes will help you set the device up correctly to get the most accurate results.
Unlike the old methods, which required lying still, Xiaomi Wearβs current algorithms are able to distinguish between micro-movement and changes in blood flow, which allows the system to distinguish deep sleep from superficial sleep, and to record moments of anxiety or awakening. The accuracy of measurements depends on the density of the strap fit and the calibration of sensors in the application.
Principle of operation of optical sensors and accelerometers
The foundation of any tracking system is a bunch of accelerometers and an optical heart rate sensor, and the accelerometer is responsible for recording any movement of your body. When you sleep, your body doesn't freeze completely: you turn around, you change postures, you pull your limbs. The accelerometer reads these movements in three planes, mapping your activity in bed.
The PPG optical sensor shines green light through the skin and analyzes the reflected signal, which measures heart rate (HR) and heart rate variability (HRV), and changes in heart rhythm are key indicators of the transition between sleep phases. At rest, the pulse slows down and in REM sleep becomes more erratic, which is what the device detects.
The combination of these two data streams allows the algorithm to draw conclusions: If the accelerometer is not recording movement and the pulse is stable and low, the system defines this as deep sleep. If there is a sudden movement or pulse surge, the device can interpret this as an awakening or a surface phase. The accuracy of the optical sensors depends on the color of the skin and the density of the strap to the wrist.
β οΈ Warning: Wearing the bracelet too tight can disrupt blood circulation and distort the sensor readings, making the sleep data unreliable.
Technical details of the work PPG-sensor
Analysis of sleep phases: from falling asleep to waking up
Xiaomi's algorithms divide nighttime rest into several key stages, each important for recovery. The first is the stage of falling asleep, when the body is just beginning to relax and the pulse gradually decreases. During this period, the accelerometer can still record movements, but the optical sensor already detects a slowdown in metabolic processes.
Then comes the surface sleep phase, followed by deep sleep, which is where the major physical recovery, growth hormone production, and immunity are going to take place, where there is little movement and the pulse is smooth and minimal, and Xiaomi's smartwatches are able to pinpoint the duration of this critical stage.
The REM phase, which completes the cycle, during which we dream and the brain processes information, completes the cycle, during which the eyes under the eyelids move rapidly, breathing becomes intermittent, and the pulse can speed up, and the algorithm recognizes these changes by the characteristic surges in heart rate and micro-movements of the wrist, even if you do not wake up.
- π Falling asleep: the period of transition from wakefulness to sleep, characterized by a decrease in activity.
- π€ Superficial sleep: The mild stage that occupies most of the night is easily interrupted by external stimuli.
- π§ Deep sleep: the stage of complete recovery of physical strength, when it is most difficult to wake a person.
- β‘ REM-Phase: A period of active brain and dream activity important for mental health.
Smart alarm clock and vibration technology
One of the most useful features of Xiaomiβs ecosystem is its smart alarm clock. Unlike regular alarm clocks that ring at a preset time, the smart alarm clock analyzes your sleep cycles. If you set your wake-up time to, say, 7:00, the system can wake you up between 6:40 and 7:00 by selecting when youβre in the surface sleep phase.
Awakening in deep sleep often leads to feelings of weakness and headache, known as "sleep inertia." A smart alarm clock minimizes this effect by using a mild vibration at its most favorable moment, allowing the body to wake up naturally and quickly get on with work, keeping productivity throughout the day.
To work this feature, you need the bracelet or watch to be connected to the smartphone via Bluetooth, or the device has its own time settings and algorithms inside the firmware. The vibromotor in Xiaomi devices is set up to be strong enough to wake up, but not cause the stress characteristic of sharp beeps.
βοΈ Setting up a smart alarm clock
Comparison of models: Bracelets vs. Clock
Not all Xiaomi devices track sleep the same way, and there is a marked difference in accuracy and functionality between the Mi Band seriesβ budget fitness bracelets and the Watch seriesβ more advanced smartwatches, not only in hardware, but also in software algorithms embedded in firmware.
More expensive models often feature improved sensors with more diodes, which improves the accuracy of the pulse reading in low light conditions, and the watch can have additional microphones for analyzing snoring or oxygen in the blood (SpO2), which gives a more complete picture of rest quality.
Below is a table showing the differences in sleep tracking functionality between popular device categories:
| Characteristics | Fitness bracelet (Mi Band) | Smart watches (Watch S/X) | Specialized rings |
|---|---|---|---|
| Pulse accuracy | Tall. | Very high. | Maximum |
| Phase analysis | Basic | Expanded | Detailed. |
| SpO2 presence | In new models | There is. | Often |
| Autonomy | 10-14 days | 5-12 days | 3-7 days |
π‘
For basic tracking of sleep phases, an up-to-date fitness bracelet is enough, but for medical analysis and oxygen monitoring, a flagship watch is better suited.
Customization and calibration in the Mi Fitness app
To make the sleep sensor work properly, you need to configure the accompanying app correctly. The main control center is the Mi Fitness app (formerly Zepp Life), which is where data synchronization and fine-tuning of parameters occur, and without the right configuration, the device can incorrectly detect the onset of sleep.
First of all, make sure that your profile settings show your current height, weight, and age, which are used by algorithms to calculate your individual sleep and calorie rates, and check if you have automatic sleep detection enabled, and sometimes you need to manually activate night pulse monitoring to improve accuracy.
Periodically, it is recommended to calibrate or reset sync settings if you notice discrepancies. Go to the device menu in the app and select Settings β Sleep Monitor. Make sure the switch is in the active position and the permission to work in the background for the application is given on Android or iOS.
β οΈ Note: If the Mi Fitness app is limited to the system in the background, sleep statistics may not be updated until manual synchronization.
Problems of accuracy and ways to solve them
Despite advanced technology, users sometimes encounter errors: the device may not detect sleep if you go to bed late at night, or, conversely, count watching a movie in bed for a daytime nap, because the algorithm relies on lack of movement and lower heart rate.
A common problem is loss of skin contact. If the strap is contaminated or weakened, the sensor stops reading the pulse, and the sleep data becomes fragmentary, and accuracy is also affected by tattoos on the wrist, which can block the light of the optical sensor, making measurements impossible.
To address these issues, follow simple guidelines: Regularly wipe the back of the device with a soft cloth. If you have a tattoo in place, try shifting the bracelet slightly higher or lower, to a patch with clean skin. The device firmware update also often contains corrections for recognition algorithm errors.
- π§Ό Hygiene: regularly clean the sensor of sweat and skin fat for a stable signal.
- π Charge: make sure that before going to bed the battery charge is at least 20-30%.
- π± Synchronization: Open the application at least once a day to upload accumulated data.
π‘
If you're taking medications that affect your heart rate, your heart rate variability can be distorted, and keep that in mind when you're analyzing your in-app schedules.